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Data-oriented programming: reduce software complexity, yehonathan sharvit

849 грн

Описание

Eliminate the unavoidable complexity of object-oriented designs. The
innovative data-oriented programming paradigm makes your systems less complex
by making it simpler to access and manipulate data.

Data-Oriented Programming

you will learn how to:

Separate code from data

Represent data with generic data structures

Manipulate data with general-purpose functions

Manage state without mutating data

Control concurrency in highly scalable systems

Write data-oriented unit tests

Specify the shape of your data

Benefit from polymorphism without objects

Debug programs without a debugger

Data-Oriented Programming

is a one-of-a-kind guide that introduces the data-oriented paradigm. This
groundbreaking approach represents data with generic immutable data
structures. It simplifies state management, eases concurrency, and does away
with the common problems you’ll find in object-oriented code. The book
presents powerful new ideas through conversations, code snippets, and diagrams
that help you quickly grok what’s great about DOP. Best of all, the paradigm
is language-agnostic—you’ll learn to write DOP code that can be implemented in
JavaScript, Ruby, Python, Clojure, and also in traditional OO languages like
Java or C#.

Forewords by Michael T. Nygard and Ryan Singer.

About the technology

Code that combines behavior and data, as is common in object-oriented designs,
can introduce almost unmanageable complexity for state management. The Data-
oriented programming (DOP) paradigm simplifies state management by holding
application data in immutable generic data structures and then performing
calculations using non-mutating general-purpose functions. Your applications
are free of state-related bugs and your code is easier to understand and
maintain.

About the book

Data-Oriented Programming

teaches you to design software using the groundbreaking data-oriented
paradigm. You’ll put DOP into action to design data models for business
entities and implement a library management system that manages state without
data mutation. The numerous diagrams, intuitive mind maps, and a unique
conversational approach all help you get your head around these exciting new
ideas. Every chapter has a lightbulb moment that will change the way you think
about programming.

What's inside

Separate code from data

Represent data with generic data structures

Manage state without mutating data

Control concurrency in highly scalable systems

Write data-oriented unit tests

Specify the shape of your data

About the reader

For programmers who have experience with a high-level programming language
like JavaScript, Java, Python, C#, Clojure, or Ruby.

About the author

Yehonathan Sharvit

has over twenty years of experience as a software engineer. He blogs, speaks
at conferences, and leads Data-Oriented Programming workshops around the
world.

Table of Contents

PART 1 FLEXIBILITY

1 Complexity of object-oriented programming

2 Separation between code and data

3 Basic data manipulation

4 State management

5 Basic concurrency control

6 Unit tests

PART 2 SCALABILITY

7 Basic data validation

8 Advanced concurrency control

9 Persistent data structures